Identification, Equivalent Models, and Computer Algebra provides information pertinent to computer algebra. This book presents a brief discussion of the commutation matrix, an operator that plays a role when derivatives have to be evaluated involving symmetric matrices. Organized into eight chapters, this book begins with an overview of the link between identification of a parameter and the existence of a consistent estimator, and the link between identification of a model and the rank of a Jacobian matrix. This text then describes an algorithm for the determination of the exact rank of a parametrized matrix. Other chapters consider the identification in the simultaneous equation model. This book discusses as well the identification assessment in confirmatory factor analysis, a problem related to the simultaneous equations model. The final chapter deals with various computer programs that the enclosed diskette contains. This book is a valuable resource for readers who are interested in computer algebra.
Paul A. Bekker & Arjen Merckens
Identification, Equivalent Models, and Computer Algebra [PDF ebook]
Statistical Modeling and Decision Science
Identification, Equivalent Models, and Computer Algebra [PDF ebook]
Statistical Modeling and Decision Science
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语言 英语 ● 格式 PDF ● ISBN 9781483216393 ● 编辑 Gerald J. Lieberman & Ingram Olkin ● 出版者 Elsevier Science ● 发布时间 2014 ● 下载 3 时 ● 货币 EUR ● ID 5733343 ● 复制保护 Adobe DRM
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